ArticleScience advances2024
Cryptographic transistor for true random number generator with low power consumption.
Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Morphology-Defined Entropy Streams for Random-Bit Generation and Probabilistic Sampling in Memristor Arrays.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Repurposing Si CMOS nonidealities for stochastic and analog image processing.Science advances · 2026Article
- Feasibility of Home-Based Electromagnetic Navigation-Guided Nasojejunal Tube Placement in a High-Risk Bedridden Elderly: A Case Report.Risk management and healthcare policy · 2026Article
- Heterojunction-Driven Stochasticity: Bi-Heterojunction Noise-Enhanced Negative Transconductance Transistor in Image Generation.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Self-rectifying memristors with high rectification ratio for attack-resilient autonomous driving systems.Nature communications · 2025Article
- 2D logistic map with unit transfer function and modulus operation based pseudorandom number generation for image encryption.Scientific reports · 2025Article
- De novo non-canonical nanopore basecalling enables private communication using heavily-modified DNA data at single-molecule level.Nature communications · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We design a cryptographic transistor (cryptoristor)-based true random number generator (tRNG) with low power consumption and small footprint. This is the first attempt to use irregular and unpredictable operation-induced randomness of a cryptoristor as an entropy source. To extract discrete random numbers with a binary code from the cryptoristor, we developed a noise-coupling analog-to-digital converter. This converter not only converts analog signals to digital random bits but also improves the randomness of the entropy source with low power consumption. The randomness of the cryptoristor is attributed to the random carrier multiplications with the creation and stochastic carrier escape as destruction, which occurs iteratively as long as the input current is fed. The cryptoristor-based tRNG passed 15 randomness test suites of NIST Special Publication 800-22. It is robust to iterative operational stresses and to ambient temperature changes, making it an attractive option for hardware-based security solutions in the Internet of Things due to its low power consumption and small size.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.